code stringlengths 13 6.09M | order_type stringclasses 2
values | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
from django.db import models
from django.contrib.auth.models import User
from django.utils.encoding import smart_unicode
from django.core.validators import MinValueValidator
from django.utils import timezone
from concurrency.fields import IntegerVersionField
class ProductCategory(models.Model):
name = models.Char... | normal | {
"blob_id": "9bb15842b39c7fd3e6f6c0048a51c2b2112ddb94",
"index": 8082,
"step-1": "<mask token>\n\n\nclass Auction(models.Model):\n title = models.CharField(max_length=20)\n current_price = models.DecimalField(max_digits=10, decimal_places=2,\n default=0, null=True, blank=True, verbose_name='current ... | [
15,
20,
23,
25,
26
] |
from django.db import models
# Create your models here.
class Products(models.Model):
title = models.CharField(max_length=255)
year = models.IntegerField(default=0)
feature = models.CharField(max_length=30)
usage_status = models.CharField(max_length=25)
kms_driven = models.CharField(max_length=10)... | normal | {
"blob_id": "5b0252dd862fe1e46c0c1df41935db16ae691dff",
"index": 7277,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Products(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Prod... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def game():
for i in range(1000):
request = input('Auto-Bot at your service. Please state your request. '
)
if request == 'google':
query = input('Search: ')
print(search(query, num_results=3))
elif request == 'stocks':
... | flexible | {
"blob_id": "60354f25f55136d4e873d118cfe048cf08c06e39",
"index": 1587,
"step-1": "<mask token>\n\n\ndef game():\n for i in range(1000):\n request = input('Auto-Bot at your service. Please state your request. '\n )\n if request == 'google':\n query = input('Search: ')\n ... | [
1,
2,
3,
4,
5
] |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import pytest
from unittest import TestCase
from pydsf.exceptions import DSFServiceError
from pydsf.service.response import parse_response
from pydsf.service.translations import translate_input_fields, translate_output_fields
class MockMessage(object):... | normal | {
"blob_id": "bbff797fab4ac7dc7e6adb81c0eeda561f8ee147",
"index": 9603,
"step-1": "<mask token>\n\n\nclass MockResponseError(object):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass MockResponseParsed(object):\n HOV = list()\n\n def __init__(self):\n self.HOV.append(('FODT', '010107'... | [
17,
24,
26,
29,
30
] |
<|reserved_special_token_0|>
def parse_args():
"""
parse args
"""
parser = argparse.ArgumentParser(description='ternarybert evaluation')
parser.add_argument('--device_target', type=str, default='Ascend',
choices=['Ascend', 'GPU'], help=
'Device where the code will be implemented. (... | flexible | {
"blob_id": "883d2efeb6d7d43cf82eef2e0397110fd8e3ea03",
"index": 4368,
"step-1": "<mask token>\n\n\ndef parse_args():\n \"\"\"\n parse args\n \"\"\"\n parser = argparse.ArgumentParser(description='ternarybert evaluation')\n parser.add_argument('--device_target', type=str, default='Ascend',\n ... | [
2,
3,
4,
5,
6
] |
# Generated by Django 3.1.7 on 2021-02-20 02:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('usuarios', '0001_initial'),
('plataforma', '0005_auto_20210219_2343'),
]
operations = [
migrations.... | normal | {
"blob_id": "3f9be81c86852a758440c6a144b8caba736b3868",
"index": 972,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('usuarios', '... | [
0,
1,
2,
3,
4
] |
import requests
from pyrogram import Client as Bot
from samantha.config import API_HASH, API_ID, BG_IMAGE, BOT_TOKEN
from samantha.services.callsmusic import run
response = requests.get(BG_IMAGE)
file = open("./etc/tg_vc_bot.jpg", "wb")
file.write(response.content)
file.close()
bot = Bot(
":memory:",
API_ID,... | normal | {
"blob_id": "c5ac37ce09f7cd76ccd9b93c64e602209a04c55c",
"index": 1824,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfile.write(response.content)\nfile.close()\n<mask token>\nbot.start()\nrun()\n",
"step-3": "<mask token>\nresponse = requests.get(BG_IMAGE)\nfile = open('./etc/tg_vc_bot.jpg', 'wb')\nfi... | [
0,
1,
2,
3,
4
] |
from django.db import models
import django.utils.timezone as timezone
# Create your models here.
# Create your models here.
class Categories(models.Model):
# 文章分类
name = models.CharField(max_length=200, verbose_name = "分类名称")
parent = models.ForeignKey('self', default=0, on_delete=models.DO_NOTHING, null = True... | normal | {
"blob_id": "512a13084a860e2784020664a3d5824d9dace6db",
"index": 7764,
"step-1": "<mask token>\n\n\nclass Images(models.Model):\n wordroot_text = models.CharField(max_length=255, verbose_name='词根')\n wordroot_id = models.IntegerField(default=0, null=True, blank=True,\n verbose_name='词根id, 可空')\n ... | [
14,
20,
22,
26,
27
] |
import pytorch_lightning as pl
from matplotlib import pyplot as plt
class Model(pl.LightningModule):
def __init__(self, net):
super(Model, self).__init__()
self.net = net
self.save_hyperparameters()
self.criterion = None
self.optimizer = None
self.batch_loss_collec... | normal | {
"blob_id": "324081eb4e133f6d16e716f3119e4cbc5e045ede",
"index": 8526,
"step-1": "<mask token>\n\n\nclass Model(pl.LightningModule):\n <mask token>\n\n def init_training_parameters(self, criterion, optimizer):\n self.criterion = criterion\n self.optimizer = optimizer\n\n def set_criterion(... | [
8,
10,
12,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.... | flexible | {
"blob_id": "d2368ab243a0660cf98f1cf89d3d8f6cc85cefaa",
"index": 6384,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def toggle_relay(value):
session = subprocess.Popen('./relay ' + value, stdout=PIPE, stderr=PIPE,
shell=True)
stdout, stderr = session.communicate()
if stderr:
raise Exception('Error ' + str(stderr))
return stdout
<|reserved_special_token_0|>
@app.route... | flexible | {
"blob_id": "18d1722529a63f9a1696b09c40dabb1c68ed55f4",
"index": 3423,
"step-1": "<mask token>\n\n\ndef toggle_relay(value):\n session = subprocess.Popen('./relay ' + value, stdout=PIPE, stderr=PIPE,\n shell=True)\n stdout, stderr = session.communicate()\n if stderr:\n raise Exception('Err... | [
2,
3,
4,
5,
6
] |
import ccxt
import json
import time
from baglanti import mysql_baglan
import datetime
import requests
from urllib.parse import urljoin
import sys
db = mysql_baglan("bingo")
cursor = db.cursor()
cursor.execute('SET NAMES utf8;')
cursor.execute('SET CHARACTER SET utf8;')
cursor.execute('SET character_set_co... | normal | {
"blob_id": "1d29ce58ca626155d626216fbbd70d7b241efa25",
"index": 6363,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ncursor.execute('SET NAMES utf8;')\ncursor.execute('SET CHARACTER SET utf8;')\ncursor.execute('SET character_set_connection=utf8;')\n<mask token>\ncursor.execute(sql)\n<mask token>\nfor ro... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@app.route('/')
def homepage():
argslist = request.args
faciltype = argslist.get('facil')
facils = []
try:
facils = db.getFacilitiesFromFacilityType(faciltype)
facils = map(lambda facil: facil.toDictNoType(), facils)
except:
facils = []
retu... | flexible | {
"blob_id": "2424d667e1bb4ee75b5053eb6f9b002787a5317f",
"index": 6391,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef homepage():\n argslist = request.args\n faciltype = argslist.get('facil')\n facils = []\n try:\n facils = db.getFacilitiesFromFacilityType(faciltype)\n facils = map(l... | [
2,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class ActorsCreator(metaclass=SingletonMeta):
<|reserved_special_token_0|>
def __init__(self):
self.consumers = ActorsCreator.create_consumers()
self.agents = ActorsCreator.create_agents()
def __del__(self):
self.stop_all_agents()
@staticmethod
... | flexible | {
"blob_id": "db31a69c57f773a79e5eaa8b3443b0366fd74861",
"index": 8565,
"step-1": "<mask token>\n\n\nclass ActorsCreator(metaclass=SingletonMeta):\n <mask token>\n\n def __init__(self):\n self.consumers = ActorsCreator.create_consumers()\n self.agents = ActorsCreator.create_agents()\n\n def... | [
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
def make_PieChart(country):
global Data
Data = []
client = MongoClient()
db = client.mydb
if country == 'China':
tb = db.ChinaData
else:
tb = db.WorldData
re = list(tb.find())
attrs = ['现存确诊', '死亡', '治愈']
values = []
currentConfirmed... | flexible | {
"blob_id": "f1c65fc4acafbda59aeea4f2dfca2cf5012dd389",
"index": 8982,
"step-1": "<mask token>\n\n\ndef make_PieChart(country):\n global Data\n Data = []\n client = MongoClient()\n db = client.mydb\n if country == 'China':\n tb = db.ChinaData\n else:\n tb = db.WorldData\n re = ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
class atom:
aid = 0
atype = ''
x = 0.0
y = 0.0
z = 0.0
rid = 0
rtype = ''
model = []
chainid = ''
def getlen(atm1, atm2):
dist = sqrt(pow(atm1.x - atm2.x, 2) + pow(atm1.y - atm2.y, 2) + pow(
atm1.z - atm2.z, 2))
return dist
<|reserve... | flexible | {
"blob_id": "78123c806e5a8c0cc7511a5024769f8c61621efa",
"index": 9877,
"step-1": "<mask token>\n\n\nclass atom:\n aid = 0\n atype = ''\n x = 0.0\n y = 0.0\n z = 0.0\n rid = 0\n rtype = ''\n model = []\n chainid = ''\n\n\ndef getlen(atm1, atm2):\n dist = sqrt(pow(atm1.x - atm2.x, 2) ... | [
5,
6,
8,
9,
10
] |
#ribbon_a and ribbon_b are the two important variables here
ribbon_a=None
ribbon_b=None
#Notes:
# - As it turns out, the internal ADC in the Teensy is NOT very susceptible to fluctuations in the Neopixels' current...BUT...the ADS1115 IS.
# Therefore, I think a better model would ditch the ADS1115 alltogether ... | normal | {
"blob_id": "06caee24b9d0bb78e646f27486b9a3a0ed5f2502",
"index": 6796,
"step-1": "<mask token>\n\n\nclass SingleTouchReading:\n <mask token>\n <mask token>\n\n def __init__(self, ribbon):\n self.ribbon = ribbon\n self.read_raw_lower()\n self.read_raw_upper()\n self.process_re... | [
20,
32,
40,
43,
50
] |
import pathlib
import sys
import yaml
from google.protobuf.json_format import ParseError
sys.path = [p for p in sys.path if not p.endswith('bazel_tools')]
from tools.config_validation.validate_fragment import validate_fragment
def main():
errors = []
for arg in sys.argv[1:]:
try:
valid... | normal | {
"blob_id": "04097e63de5cd94ca8921be5cb6c2155c1e7bc20",
"index": 7534,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n errors = []\n for arg in sys.argv[1:]:\n try:\n validate_fragment('envoy.config.bootstrap.v3.Bootstrap', yaml.\n safe_load(pathlib... | [
0,
2,
3,
4,
5
] |
from .gunicorn import *
from .server_app import *
| normal | {
"blob_id": "ed5dd954dedb00bf645f9ca14b5ca9cd122b2adc",
"index": 6183,
"step-1": "<mask token>\n",
"step-2": "from .gunicorn import *\nfrom .server_app import *\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
} | [
0,
1
] |
<|reserved_special_token_0|>
class Database:
def __init__(self, context, db_filename='database.sqlite'):
session_files = context['session_files']
db_filename = session_files.session_dir / db_filename
database_exists = db_filename.is_file()
def setup_connection(connection):
... | flexible | {
"blob_id": "45c1510d19af0979326a1b9975ec363b0b80a291",
"index": 8123,
"step-1": "<mask token>\n\n\nclass Database:\n\n def __init__(self, context, db_filename='database.sqlite'):\n session_files = context['session_files']\n db_filename = session_files.session_dir / db_filename\n database... | [
8,
9,
12,
15,
16
] |
from django.db.models import Exists
from django.db.models import OuterRef
from django.db.models import QuerySet
from django.utils import timezone
class ProductQuerySet(QuerySet):
def available(self):
return self.filter(available_in__contains=timezone.now(), category__public=True)
def annotate_subprod... | normal | {
"blob_id": "3fdf67c3e0e4c3aa8a3fed09102aca0272b5ff4f",
"index": 6938,
"step-1": "<mask token>\n\n\nclass OrderQuerySet(QuerySet):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ProductQuerySet(QuerySet):\n <mask token>\n <... | [
1,
7,
8,
9,
11
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for r in restFiles:
print(r)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
restFiles = [os.path.join(d[0], f) for d in os.walk('.') for f in d[2] if f
.endswith('.java') and 'PythonInterpreter' in open(os.pa... | flexible | {
"blob_id": "61085eecc8fd0b70bc11e5a85c3958ba3b905eaf",
"index": 3118,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor r in restFiles:\n print(r)\n",
"step-3": "<mask token>\nrestFiles = [os.path.join(d[0], f) for d in os.walk('.') for f in d[2] if f\n .endswith('.java') and 'PythonInterpreter... | [
0,
1,
2,
3,
4
] |
import pygame
import os
import random
#Vx = float(input("Input Vx : "))
#Vy = float(input("Input Vy : "))
Vx = 20
Vy = 20
#GEOMETRY
screen_width = 1000
screen_height = 600
FPS = 30
#COLOR
BLUE = (0, 0, 255)
BLACK = (0, 0, 0)
GREEN = (204, 153, 255)
RED = (255, 0, 0)
WHITE = (155, 25, 0)
colorLi... | normal | {
"blob_id": "0dd5511c0e39f113c46785be78a898e79bc45a21",
"index": 5188,
"step-1": "<mask token>\n\n\nclass projectile(pygame.sprite.Sprite):\n <mask token>\n <mask token>\n <mask token>\n\n\nclass enemy(pygame.sprite.Sprite):\n im = pygame.image.load(os.path.join(path, 'Gallery', 'stateczek.png'))\n ... | [
6,
9,
13,
14,
18
] |
<|reserved_special_token_0|>
class TestAudiobookResponse(unittest.TestCase):
def test_audiobook_can_insert(self):
""" test that audiobook can be inserted into db """
data = {'audiotype': 'Audiobook', 'metadata': {'duration': 37477,
'title': 'another', 'author': 'Solomon', 'narrator': ... | flexible | {
"blob_id": "e651edcbe68264e3f25180b10dc8e9d5620ecd6b",
"index": 3656,
"step-1": "<mask token>\n\n\nclass TestAudiobookResponse(unittest.TestCase):\n\n def test_audiobook_can_insert(self):\n \"\"\" test that audiobook can be inserted into db \"\"\"\n data = {'audiotype': 'Audiobook', 'metadata':... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class FizzBuzz:
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class FizzBuzz:
def convert(self, number):
if number % 3 == 0 and number % 5 != 0:
return 'Fizz'
elif number % 3 != 0 and number % 5 == 0:
... | flexible | {
"blob_id": "fb9d639bca59ecb081e7d9f30f97bdcd35627d34",
"index": 6124,
"step-1": "<mask token>\n",
"step-2": "class FizzBuzz:\n <mask token>\n",
"step-3": "class FizzBuzz:\n\n def convert(self, number):\n if number % 3 == 0 and number % 5 != 0:\n return 'Fizz'\n elif number % 3... | [
0,
1,
2,
3
] |
# Importing datasets wrangling libraries
import numpy as np
import pandas as pd
incd_data = pd.read_csv('data/Cancer/incd.csv', usecols=['State', 'FIPS', 'Age-Adjusted Incidence Rate([rate note]) - cases per 100,000', 'Average Annual Count', 'Recent Trend'])
print(incd_data.columns)
| normal | {
"blob_id": "1deab16d6c574bf532c561b8d6d88aac6e5d996c",
"index": 8355,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(incd_data.columns)\n",
"step-3": "<mask token>\nincd_data = pd.read_csv('data/Cancer/incd.csv', usecols=['State', 'FIPS',\n 'Age-Adjusted Incidence Rate([rate note]) - cases pe... | [
0,
1,
2,
3,
4
] |
class Anagram(object):
def __init__(self, word):
self.word = word
self.canonical = self._canonicalize(word)
def _canonicalize(self, word):
return sorted(word.lower())
def _is_anagram(self, word):
return word != self.word and self._canonicalize(word) == self.canonical
... | normal | {
"blob_id": "44224985dbfa6234eff406149ce25e1d00b512e9",
"index": 620,
"step-1": "class Anagram(object):\n <mask token>\n <mask token>\n <mask token>\n\n def match(self, words):\n return filter(self._is_anagram, words)\n",
"step-2": "class Anagram(object):\n\n def __init__(self, word):\n ... | [
2,
3,
4,
5
] |
<|reserved_special_token_0|>
def test_str_fit_transformr():
assert fit_transform(['Moscow', 'New York', 'Moscow', 'London']) == [(
'Moscow', [0, 0, 1]), ('New York', [0, 1, 0]), ('Moscow', [0, 0, 1]
), ('London', [1, 0, 0])]
def test_int_fit_str_transformr():
assert fit_transform([1, 2, 1, 3... | flexible | {
"blob_id": "b236abaa5e206a8244083ee7f9dcdb16741cb99d",
"index": 3072,
"step-1": "<mask token>\n\n\ndef test_str_fit_transformr():\n assert fit_transform(['Moscow', 'New York', 'Moscow', 'London']) == [(\n 'Moscow', [0, 0, 1]), ('New York', [0, 1, 0]), ('Moscow', [0, 0, 1]\n ), ('London', [1, 0,... | [
3,
4,
6,
7,
8
] |
from types import MappingProxyType
from typing import Any, Dict, Mapping, Type, TypeVar, Union
import yaml
from typing_extensions import Protocol
from mashumaro.serializer.base import DataClassDictMixin
DEFAULT_DICT_PARAMS = {
"use_bytes": False,
"use_enum": False,
"use_datetime": False,
}
EncodedData = ... | normal | {
"blob_id": "15edb1c051ccbc6f927c0a859288511f94a3d853",
"index": 986,
"step-1": "<mask token>\n\n\nclass Encoder(Protocol):\n <mask token>\n\n\nclass Decoder(Protocol):\n\n def __call__(self, packed: EncodedData, **kwargs) ->Dict[Any, Any]:\n ...\n\n\nclass DataClassYAMLMixin(DataClassDictMixin):\n\... | [
6,
7,
8,
9,
10
] |
def format_amount(a):
return a.replace(",","").strip().replace("%","").replace("$","")
def create_json(gdp, coords):
# ------------ Split gdp data ------------ #
line_list=gdp.split('\n')
column_list = [x.split('\t') for x in line_list if x!=""]
# ------------ Split coord data ------------ #
line_list=coords.s... | normal | {
"blob_id": "1cbc37655e28ab3082fc31baf119cb2bab96379b",
"index": 3661,
"step-1": "def format_amount(a):\n return a.replace(',', '').strip().replace('%', '').replace('$', '')\n\n\n<mask token>\n",
"step-2": "def format_amount(a):\n return a.replace(',', '').strip().replace('%', '').replace('$', '')\n\n\nd... | [
1,
3,
4,
5,
6
] |
from basetest import simtest
import testutil
import logging, random
from nitro_parts.lib.imager import ccm as CCM
import numpy
###############################################################################
class DotProductTest(simtest):
def _set_coeff(self, c):
cq = (c * 32).astype(numpy.uint8)
... | normal | {
"blob_id": "53110d6e7923cf65c514d54950a0be165582e9a0",
"index": 4909,
"step-1": "<mask token>\n\n\nclass DotProductTest(simtest):\n <mask token>\n <mask token>\n\n def _check(self, c, d):\n d = numpy.array(d)\n ds = d.copy()\n ds[d > 511] = d[d > 511] - 1024\n c = numpy.arra... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class TunnelManagerError(Error):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TunnelManagerError(Error):
def __init__(self, expression, message):
self.expression = expression
self.message = message
<|reserved_... | flexible | {
"blob_id": "661b622708692bd9cd1b3399835f332c86e39bf6",
"index": 8835,
"step-1": "<mask token>\n\n\nclass TunnelManagerError(Error):\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass TunnelManagerError(Error):\n\n def __init__(self, expression, message):\n self.expression = expression\n ... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
#!-*-coding:utf-8 -*-
"""
@version: python3.7
@author: ‘v-enshi‘
@license: Apache Licence
@contact: 123@qq.com
@site:
@software: PyCharm
@file: Images_fade.py
@time: 2019/1/16 17:17
"""
from PIL import Image
import numpy as np
filename = "hw0_data/westbrook.jpg"
im=Image.open(filename) #open th... | normal | {
"blob_id": "6e78d1fb2364d334f47fea89b065d859c025ca2f",
"index": 5648,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfinalImg.save('Q2.jpg')\n",
"step-3": "<mask token>\nfilename = 'hw0_data/westbrook.jpg'\nim = Image.open(filename)\nimgs = np.array(im)\nimgsDiv2 = np.trunc(imgs / 2)\nimgInt = imgsDiv... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python2.7
import os, sys
COMPILER = "gcc"
SRC_DIR = "../src"
INCLUDE_DIR = "../src"
BIN_DIR = "../bin"
BIN_NAME = False
CFLAGS = ["-O3", "-Wall", "-Wextra", "--std=c89", "-pedantic"]
DLIBS = ["ws2_32"] if os.name == "nt" else []
DEFINES = []
def strformat(fmt, var):
for k in... | normal | {
"blob_id": "1b4c86fe3aae25aeec6cd75fa8177983ce9d14a2",
"index": 1819,
"step-1": "#!/usr/bin/python2.7\nimport os, sys\n\nCOMPILER = \"gcc\"\nSRC_DIR = \"../src\"\nINCLUDE_DIR = \"../src\"\nBIN_DIR = \"../bin\"\nBIN_NAME = False\nCFLAGS = [\"-O3\", \"-Wall\", \"-Wextra\", \"--std=c89\", \"-ped... | [
0
] |
from django.db import models
class Subscribe(models.Model):
mail_subscribe = models.EmailField('Пошта', max_length=40)
def __str__(self):
return self.mail_subscribe
class Meta:
verbose_name = 'підписку'
verbose_name_plural = 'Підписки'
| normal | {
"blob_id": "3c22b187f8538e16c0105706e6aac2875ea3a25c",
"index": 6162,
"step-1": "<mask token>\n\n\nclass Subscribe(models.Model):\n <mask token>\n <mask token>\n\n\n class Meta:\n verbose_name = 'підписку'\n verbose_name_plural = 'Підписки'\n",
"step-2": "<mask token>\n\n\nclass Subscri... | [
1,
2,
3,
4
] |
<|reserved_special_token_0|>
@app.route('/')
def index():
strIO = StringIO.StringIO()
strIO.write('Hello from Dan Jacob and Stephane Wirtel !')
strIO.seek(0)
return send_file(strIO, attachment_filename='testing.txt',
as_attachment=True)
<|reserved_special_token_0|>
<|reserved_special_token... | flexible | {
"blob_id": "45335fa5d4773bdd0ef3e6c340fe06e84169be5e",
"index": 8708,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n strIO = StringIO.StringIO()\n strIO.write('Hello from Dan Jacob and Stephane Wirtel !')\n strIO.seek(0)\n return send_file(strIO, attachment_filename='testing.txt',\n ... | [
1,
2,
3,
4,
5
] |
import requests
import csv
from bs4 import BeautifulSoup
reservoirs = [["LVQ"], ["HTH"], ["APN"], ["KNT"], ["SHA"]]
for reservoir in reservoirs:
storageURL = "https://cdec.water.ca.gov/dynamicapp/QueryMonthly?s=" + reservoir[0]
storagePage = requests.get(storageURL)
storageSoup = BeautifulSoup(storagePage... | normal | {
"blob_id": "ebe7c245e3e14116a37020971e67ada054e0b434",
"index": 1171,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor reservoir in reservoirs:\n storageURL = ('https://cdec.water.ca.gov/dynamicapp/QueryMonthly?s=' +\n reservoir[0])\n storagePage = requests.get(storageURL)\n storageSou... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def groupby_count(df, groupby_column, count_column):
new_df = pd.DataFrame(df.groupby(groupby_column)[count_column].count())
new_df.columns = ['count']
new_df[groupby_column] = new_df.index.get_level_values(0)
new_df.reset_index(drop=True, inplace=True)
return new_df
... | flexible | {
"blob_id": "30b07e57737ac29643769c4773591199b2ba8656",
"index": 2184,
"step-1": "<mask token>\n\n\ndef groupby_count(df, groupby_column, count_column):\n new_df = pd.DataFrame(df.groupby(groupby_column)[count_column].count())\n new_df.columns = ['count']\n new_df[groupby_column] = new_df.index.get_leve... | [
2,
3,
4,
5,
6
] |
import os
import json
basedir = os.path.abspath(os.path.dirname(__file__))
# CHECK IF PRODUCTION CONFIG EXISTS
if os.path.exists('/etc/config.json'):
with open('/etc/config.json') as config_file:
config = json.load(config_file)
else:
with open('dev_config.json') as config_file:
config = json.l... | normal | {
"blob_id": "1f7147c914eee37776c0418575e93e3d36ee3aa5",
"index": 7099,
"step-1": "<mask token>\n\n\nclass Config:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n... | [
7,
9,
10,
11,
13
] |
import pdb
from django.db.models import Count
from django.shortcuts import render_to_response, redirect
from django.contrib.auth.decorators import login_required
from django.contrib.contenttypes.models import ContentType
from django.template import RequestContext
from models import *
from forms import *
from django.htt... | normal | {
"blob_id": "565e994576a57f8bbdcb201f2439bd7e595fa53e",
"index": 9679,
"step-1": "<mask token>\n\n\ndef list(request):\n techniques = Technique.objects.annotate(num_images=Count('images')\n ).order_by('-num_images')\n return render_to_response('technique/list.html', {'techniques':\n technique... | [
1,
2,
3,
4
] |
import sys
import os
import cv2
def write_video(fps, input_folder="output",video_name="video.mp4"):
fourcc = cv2.VideoWriter_fourcc("m","p","4","v")
video = cv2.VideoWriter(video_name, fourcc, fps, (1280,720))
path = os.getcwd()
files = os.listdir(path+"/"+input_folder)
count = len(files) ... | normal | {
"blob_id": "ca0c38cf2a55b2311a254b09cb693516c3d0ab10",
"index": 1763,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef write_video(fps, input_folder='output', video_name='video.mp4'):\n fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')\n video = cv2.VideoWriter(video_name, fourcc, fps, (12... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main(open_name_file, dir_path, kmer_length, x_set):
groups = []
DNA.generate_kmer_hash(kmer_length)
for line in open_name_file:
if line[0:12] == 'family_name:':
family = line.split('\t')[1].st... | flexible | {
"blob_id": "b9a262bd6ddbca3b214825a473d870e70e8b5e57",
"index": 9443,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main(open_name_file, dir_path, kmer_length, x_set):\n groups = []\n DNA.generate_kmer_hash(kmer_length)\n for line in open_name_file:\n if line[0:12] == 'family_na... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def convert_lines_to_arrays(content):
"""
convert each line in scene to an array of text
formating when not relevant
"""
lines = []
for x in content:
line = x.strip()
if len(line) > 0:
if 'scene:' in x:
lines.appe... | flexible | {
"blob_id": "9a6ceeb286bb6c3d5923fe3b53be90a097e16ef5",
"index": 1078,
"step-1": "<mask token>\n\n\ndef convert_lines_to_arrays(content):\n \"\"\"\n convert each line in scene to an array of text\n formating when not relevant\n \"\"\"\n lines = []\n for x in content:\n line = x.s... | [
12,
13,
15,
16,
17
] |
#!/usr/bin/python
#
# @name = 'fmsrutil.py'
#
# @description = "F-MSR utilities module."
#
# @author = ['YU Chiu Man', 'HU Yuchong', 'TANG Yang']
#
import sys
import os
import random
from finitefield import GF256int
from coeffvector import CoeffVector
from coeffvector import CoeffMatrix
import common
#Check if C l... | normal | {
"blob_id": "0ebd19079a16a6e3da34da2ecfda0d159b8580b2",
"index": 9527,
"step-1": "<mask token>\n\n\ndef getNativeBlockNum(n, k):\n \"\"\"Get number of native blocks.\"\"\"\n return k * (n - k)\n\n\n<mask token>\n\n\ndef getNodeIdList(n, k):\n \"\"\"Find the node id for a segment of blocks.\"\"\"\n \"... | [
10,
12,
13,
15,
16
] |
from collections import Counter
from enum import auto, Enum
class Category(Enum):
ONES = 1
TWOS = 2
THREES = 3
FOURS = 4
FIVES = 5
SIXES = 6
YACHT = auto()
FULL_HOUSE = auto()
FOUR_OF_A_KIND = auto()
LITTLE_STRAIGHT = auto()
BIG_STRAIGHT = auto()
CHOICE = auto()
def s... | normal | {
"blob_id": "40bc8122d98d407341a56251f9abfab019e0acd8",
"index": 625,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Category(Enum):\n ONES = 1\n TWOS = 2\n THREES = 3\n FOURS = 4\n FIVES = 5\n SIXES = 6\n YACHT = auto()\n FULL_HOUSE = auto()\n FOUR_OF_A_KIND = auto()... | [
0,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for line in old_file.readlines():
cleaned_line = line.replace(',', '.')
new_file.write(cleaned_line)
old_file.close
new_file.close
<|reserved_special_token_1|>
old_file = open('new.csv', 'r')
new_file = open('new1,csv',... | flexible | {
"blob_id": "b3d26d01d45c073192d06c8e94c06f7eae267b14",
"index": 968,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in old_file.readlines():\n cleaned_line = line.replace(',', '.')\n new_file.write(cleaned_line)\nold_file.close\nnew_file.close\n",
"step-3": "old_file = open('new.csv', '... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
engine.say('Hello from Eliq.')
engine.runAndWait()
<|reserved_special_token_0|>
print(power_str)
if power_value_int > level_warning:
engine.say(power_str)
engine.say('Warning.')
engine.runAndWait()
else:
engine.say... | flexible | {
"blob_id": "72abba6fa40441ab172bccb9065aaa0af5fefd64",
"index": 7209,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nengine.say('Hello from Eliq.')\nengine.runAndWait()\n<mask token>\nprint(power_str)\nif power_value_int > level_warning:\n engine.say(power_str)\n engine.say('Warning.')\n engine... | [
0,
1,
2,
3,
4
] |
# hi :)
import numpy as np
import random
from copy import deepcopy
# initialization....
# see also prepare.sh
header = np.loadtxt("header.txt", dtype=int)
TIME = header[2]
CARS = header[3]
STARTPOINT = header[4]
GRAPH = np.loadtxt("links.txt",dtype=int)
number_of_links = GRAPH.shape[0]
N = len(GRAPH[:,1])
VOI... | normal | {
"blob_id": "9a9fdf0f3cfb876a384059f3dcf2508f960168c2",
"index": 2167,
"step-1": "# hi :)\nimport numpy as np\nimport random\nfrom copy import deepcopy\n\n\n# initialization....\n# see also prepare.sh\n\nheader = np.loadtxt(\"header.txt\", dtype=int)\nTIME = header[2]\nCARS = header[3]\nSTARTPOINT = header[... | [
0
] |
# coding: utf-8
# Aluno: Héricles Emanuel
# Matrícula: 117110647
# Atividade: É quadrado Mágico?
def eh_quadrado_magico(m):
somas_all = []
eh_magico = True
soma = 0
for e in range(len(m[0])):
soma += m[0][e]
# Linhas
for i in range(len(m)):
somados = 0
for e in range(len(m[i])):
somados += (m[i][e])
s... | normal | {
"blob_id": "f039ab104093eb42c3f5d3c794710a0997e85387",
"index": 8371,
"step-1": "# coding: utf-8\n# Aluno: Héricles Emanuel\n# Matrícula: 117110647\n# Atividade: É quadrado Mágico?\n\ndef eh_quadrado_magico(m):\n\tsomas_all = []\n\teh_magico = True\n\tsoma = 0\n\tfor e in range(len(m[0])):\n\t\tsoma += m[0][e]\... | [
0
] |
from e19_pizza import *
print("\n----------导入模块中的所有函数----------")
# 由于导入了每个函数，可通过名称来调用每个函数，无需使用句点表示法
make_pizza(16, 'pepperoni')
make_pizza(12, 'mushrooms', 'green peppers', 'extra cheese')
# 注意:
# 使用并非自己编写的大型模块时，最好不要采用这种导入方法，如果模块中
# 有函数的名称与你的项目中使用的名称相同，可能导致意想不到的结果。
# Python可能遇到多个名称相同的函数或变量，进而覆盖函数，而不是分别导
# 入所有... | normal | {
"blob_id": "c54a046ebde1be94ec87061b4fba9e22bf0f4d0a",
"index": 3508,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(\"\"\"\n----------导入模块中的所有函数----------\"\"\")\nmake_pizza(16, 'pepperoni')\nmake_pizza(12, 'mushrooms', 'green peppers', 'extra cheese')\n",
"step-3": "from e19_pizza import *\npr... | [
0,
1,
2,
3
] |
# Generated by Django 3.0.6 on 2020-07-06 17:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('s1app', '0004_auto_20200706_0753'),
]
operations = [
migrations.AlterField(
model_name='gall',
name='date',
... | normal | {
"blob_id": "a7d7408808f28343a51ff6522c5e14747c8c6e43",
"index": 9819,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('s1app', '00... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class _RegressionModelTable(object):
def __init__(self, regression_models, function_to_evaluate_model=None,
function_to_select_model=None):
if not isinstance(regression_models, list):
regression_models = [regression_models]
self._check_model_inputs... | flexible | {
"blob_id": "94264e121bb31a08cbd9766be1ff16173d2838ed",
"index": 5331,
"step-1": "<mask token>\n\n\nclass _RegressionModelTable(object):\n\n def __init__(self, regression_models, function_to_evaluate_model=None,\n function_to_select_model=None):\n if not isinstance(regression_models, list):\n ... | [
6,
7,
8,
13,
14
] |
name = raw_input("Enter file:")
if len(name) < 1 : name = "mbox-short.txt"
handle = open(name)
x = list()
for line in handle:
line.split() ## unnesssecary
if line.startswith("From "):
x.append(line[line.find(" ")+1:line.find(" ",line.find(" ")+1)])
counts = dict()
for name in x:
if name not in co... | normal | {
"blob_id": "28091b7251f980f3f63abdb03140edd0d789be8f",
"index": 6414,
"step-1": "name = raw_input(\"Enter file:\")\nif len(name) < 1 : name = \"mbox-short.txt\"\nhandle = open(name)\nx = list()\nfor line in handle:\n line.split() ## unnesssecary\n if line.startswith(\"From \"):\n x.append(line[line... | [
0
] |
import os
from django.conf import settings
from chamber.importers import BulkCSVImporter, CSVImporter
from .models import CSVRecord
class BulkCSVRecordImporter(BulkCSVImporter):
model_class = CSVRecord
fields = ('id', 'name', 'number')
csv_path = os.path.join(settings.PROJECT_DIR, 'data', 'all_fields_f... | normal | {
"blob_id": "559bd0c1821f405d21cdacba55f129ee5220bb5d",
"index": 3751,
"step-1": "<mask token>\n\n\nclass CSVRecordImporter(CSVImporter):\n model_class = CSVRecord\n fields = 'id', 'name', 'number'\n csv_path = os.path.join(settings.PROJECT_DIR, 'data',\n 'all_fields_filled.csv')\n\n def clean... | [
3,
4,
6,
7,
8
] |
from django.urls import path
from . import views
from .views import propertyForRent, propertyForSale, PropertyDetailView
app_name = "core"
urlpatterns = [
path("", views.index, name="home"),
path("property_for_rent/", views.propertyForRent, name="property_rent"),
path("property_for_sale/", views.propertyF... | normal | {
"blob_id": "e2671911894871c32ad933fde8e05c913a4cc942",
"index": 7149,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'core'\nurlpatterns = [path('', views.index, name='home'), path(\n 'property_for_rent/', views.propertyForRent, name='property_rent'),\n path('property_for_sale/', views.... | [
0,
1,
2,
3
] |
from time import strftime
from Stats.SQL.Compteur import compteurSQL
from Stats.SQL.Rapports import rapportsSQL
from Stats.SQL.Daily import dailySQL
from Stats.SQL.CompteurP4 import compteurJeuxSQL
from Stats.SQL.Historique import histoSQL, histoSQLJeux
from Stats.SQL.ConnectSQL import connectSQL
tableauMois={"01":"ja... | normal | {
"blob_id": "19ff064f8c27b9796eb435c7d2b9ebf87ee90ad6",
"index": 7982,
"step-1": "<mask token>\n\n\ndef exeObj(count, idObj, id, obj, guild, nom):\n dateID = int(strftime('%y') + strftime('%m') + strftime('%d'))\n connexionGL, curseurGL = connectSQL(guild.id, nom, 'Stats', 'GL', '')\n connexion, curseur... | [
2,
3,
4,
5,
6
] |
import sys
import os
sys.path.insert(0, "main")
import main
workspace = os.path.abspath(sys.argv[1])
main.hammer(workspace)
| normal | {
"blob_id": "4e1f7fddb6bd3413dd6a8ca21520d309af75c811",
"index": 931,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsys.path.insert(0, 'main')\n<mask token>\nmain.hammer(workspace)\n",
"step-3": "<mask token>\nsys.path.insert(0, 'main')\n<mask token>\nworkspace = os.path.abspath(sys.argv[1])\nmain.ham... | [
0,
1,
2,
3,
4
] |
w=int(input())
lst=[i+1 for i in range(100)]
for i in range(2,100):
lst.append(i*100)
lst.append(i*10000)
lst.append(10000)
print(297)
print(*lst)
| normal | {
"blob_id": "1d004ec0f4f5c50f49834f169812737d16f22b96",
"index": 3967,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(2, 100):\n lst.append(i * 100)\n lst.append(i * 10000)\nlst.append(10000)\nprint(297)\nprint(*lst)\n",
"step-3": "w = int(input())\nlst = [(i + 1) for i in range(10... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def test_file():
print('\n[*] === file ===')
name_libmagic_so = 'libmagic.so.1'
inspector = Inspector('./sample/file', debug=True)
find_addr = 95224
cond = inspector.get_condition_at(Tactic.near_path_constrai... | flexible | {
"blob_id": "a25fb9b59d86de5a3180e4257c4e398f22cdbb05",
"index": 6947,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef test_file():\n print('\\n[*] === file ===')\n name_libmagic_so = 'libmagic.so.1'\n inspector = Inspector('./sample/file', debug=True)\n find_addr = 95224\n cond = i... | [
0,
1,
2,
3,
4
] |
"""This module runs cdb on a process and !exploitable on any exceptions.
"""
import ctypes
import logging
import os
from pprint import pformat
from subprocess import Popen
from threading import Timer
import time
from certfuzz.debuggers.debugger_base import Debugger as DebuggerBase
from certfuzz.debuggers.ou... | normal | {
"blob_id": "706f8d83bc9b4fab6f6d365c047c33913daece61",
"index": 5014,
"step-1": "<mask token>\n\n\nclass MsecDebugger(DebuggerBase):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def debugger_app(self):\n \"\"\"\n Returns the name of the debugger ... | [
8,
9,
12,
15,
16
] |
# https://www.hackerrank.com/challenges/bon-appetit
n, k = map(int, input().split())
prices = [int(temp) for temp in input().split()]
taken = int(input())
if (sum(prices) - prices[k]) // 2 == taken:
print("Bon Appetit")
else:
print(taken - (sum(prices) - prices[k])// 2)
| normal | {
"blob_id": "aa15f684d23d97a45a416b1fdcfb192710ebb56f",
"index": 2151,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif (sum(prices) - prices[k]) // 2 == taken:\n print('Bon Appetit')\nelse:\n print(taken - (sum(prices) - prices[k]) // 2)\n",
"step-3": "n, k = map(int, input().split())\nprices =... | [
0,
1,
2,
3
] |
# -*- encoding: utf-8 -*-
class BaseException(object):
""" Common base class for all exceptions """
def with_traceback(self, tb): # real signature unknown; restored from __doc__
"""
Exception.with_traceback(tb) --
set self.__traceback__ to tb and return self.
"""
p... | normal | {
"blob_id": "3d01910ae1c163067f4a23b3cca109a7d9e193d5",
"index": 5251,
"step-1": "class BaseException(object):\n <mask token>\n\n def with_traceback(self, tb):\n \"\"\"\n Exception.with_traceback(tb) --\n set self.__traceback__ to tb and return self.\n \"\"\"\n pass\n... | [
9,
10,
11,
12,
15
] |
<|reserved_special_token_0|>
class ResnetEncoder(nn.HybridBlock):
<|reserved_special_token_0|>
def __init__(self, backbone, pretrained, num_input_images=1, root=os.
path.join(os.path.expanduser('~'), '.mxnet/models'), ctx=cpu(), **
kwargs):
super(ResnetEncoder, self).__init__()
... | flexible | {
"blob_id": "62601eca767800f00b461ef46d72bddc5cf75de0",
"index": 1400,
"step-1": "<mask token>\n\n\nclass ResnetEncoder(nn.HybridBlock):\n <mask token>\n\n def __init__(self, backbone, pretrained, num_input_images=1, root=os.\n path.join(os.path.expanduser('~'), '.mxnet/models'), ctx=cpu(), **\n ... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LaughsappConfig(AppConfig):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LaughsappConfig(AppConfig):
name = 'laughsApp'
<|reserved_special_token_1|>
from djan... | flexible | {
"blob_id": "6b785502e8a8983c164ebdffdd304da47c926acb",
"index": 774,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass LaughsappConfig(AppConfig):\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass LaughsappConfig(AppConfig):\n name = 'laughsApp'\n",
"step-4": "from django.apps impor... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def build_recursive_traversal_spec(client_factory):
rp_to_rp = client_factory.create('ns0:TraversalSpec')
rp_to_rp.name = 'rpToRp'
rp_to_rp.type = 'ResourcePool'
rp_to_rp.path = 'resourcePool'
rp_to_rp.skip = False
rp_to_vm = client_factory.create('ns0:TraversalSpe... | flexible | {
"blob_id": "de704bffe2e23a8a83d34204e325b7fb2454ef66",
"index": 133,
"step-1": "<mask token>\n\n\ndef build_recursive_traversal_spec(client_factory):\n rp_to_rp = client_factory.create('ns0:TraversalSpec')\n rp_to_rp.name = 'rpToRp'\n rp_to_rp.type = 'ResourcePool'\n rp_to_rp.path = 'resourcePool'\n... | [
14,
18,
20,
22,
23
] |
<|reserved_special_token_0|>
class QueueManager(BaseManager):
pass
def start_request():
QueueManager.register('get_task_queue')
QueueManager.register('get_result_queue')
server_add = '127.0.0.1'
print('Connect to server %s...' % server_add)
manager = QueueManager(address=(server_add, 5000), ... | flexible | {
"blob_id": "be1bfa3e366d715d32613284924cf79abde06d41",
"index": 582,
"step-1": "<mask token>\n\n\nclass QueueManager(BaseManager):\n pass\n\n\ndef start_request():\n QueueManager.register('get_task_queue')\n QueueManager.register('get_result_queue')\n server_add = '127.0.0.1'\n print('Connect to ... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def solution(skill, skill_trees):
answer = 0
for tree in skill_trees:
able = True
for i in range(len(skill) - 1, 0, -1):
index = tree.find(skill[i])
if index != -1 and i > 0:
if tree[:index].find... | flexible | {
"blob_id": "a72d878d246a459038640bf9c1deff562994b345",
"index": 7338,
"step-1": "<mask token>\n",
"step-2": "def solution(skill, skill_trees):\n answer = 0\n for tree in skill_trees:\n able = True\n for i in range(len(skill) - 1, 0, -1):\n index = tree.find(skill[i])\n ... | [
0,
1,
2,
3
] |
import random
from . import WaiterInterface
class RandomIPv4Waiter(WaiterInterface):
"""
HostPortWaiter which generates random ipv4 adresses
"""
def __init__(self, options):
self.ports = options['ports']
self.limit_generate = options.get('limit_generate', -1)
def generator(self):
... | normal | {
"blob_id": "bd3b1263d7d657fe2edd3c7198f63821a3d1d1e5",
"index": 319,
"step-1": "<mask token>\n\n\nclass RandomIPv4Waiter(WaiterInterface):\n <mask token>\n <mask token>\n\n def generator(self):\n while self.limit_generate != 0:\n randomIPv4 = generateRandomIPv4()\n yield ra... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
@bot.message_handler(commands=['new_game'])
def new_game(message):
print(f'try new game with message: {message.text}')
answer = ''
try:
answer = get_challenge_text(message.text)
print('Challenge successfully created')
except ValueError as exception:
... | flexible | {
"blob_id": "f9f66452756cb67689d33aeb2e77535086355a7d",
"index": 5115,
"step-1": "<mask token>\n\n\n@bot.message_handler(commands=['new_game'])\ndef new_game(message):\n print(f'try new game with message: {message.text}')\n answer = ''\n try:\n answer = get_challenge_text(message.text)\n p... | [
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def show():
oled = Display()
for image in images:
oled.clear(0, 1)
oled.draw_graphic(image, 35, 2)
time.sleep(5)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def show():
oled = Display()
for image in ... | flexible | {
"blob_id": "1930aa258ac4fbcdb2972e19bdb2625d2dae4114",
"index": 9403,
"step-1": "<mask token>\n\n\ndef show():\n oled = Display()\n for image in images:\n oled.clear(0, 1)\n oled.draw_graphic(image, 35, 2)\n time.sleep(5)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef show()... | [
1,
2,
3,
4,
5
] |
# -*- coding:utf-8 -*-
import easygui as eg
import time as tm
import numpy as np
import thread
import os
from urllib2 import urlopen, Request
import json
from datetime import datetime, timedelta
URL_IFENG='http://api.finance.ifeng.com/akmin?scode=%s&type=%s'
NUM_PER_THREAD=100#单线程监控的股票数
SCAN_INTERVAL=10
FILE_PATH=u'.\... | normal | {
"blob_id": "57027cd638a01a1e556bcde99bcbe2a3b2fa0ef8",
"index": 2388,
"step-1": "# -*- coding:utf-8 -*-\nimport easygui as eg\nimport time as tm\nimport numpy as np\nimport thread\nimport os\nfrom urllib2 import urlopen, Request\nimport json\nfrom datetime import datetime, timedelta\n\nURL_IFENG='http://api.fin... | [
0
] |
# Generated by Django 2.2.8 on 2019-12-10 10:28
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('fieldsapp', '0003_pole_avatar'),
]
operations = [
migrations.AddField(
model_name='pole',
name='email',
... | normal | {
"blob_id": "9d6516ea099e035fb97e5165071103698a7ec140",
"index": 5812,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('fieldsapp',... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def run_smac(max_fun=30):
from smac.facade.func_facade import fmin_smac
x, cost, smac = fmin_smac(func=test_func, x0=[-0], bounds=[(-5, 5)],
maxfun=max_fun, rng=1234)
runhistory = smac.get_runhistory()
x_smac = []
y_smac = []
for entry in runhistory.data:
... | flexible | {
"blob_id": "90218168841dc76febab67d1e992dfc993730ea4",
"index": 2455,
"step-1": "<mask token>\n\n\ndef run_smac(max_fun=30):\n from smac.facade.func_facade import fmin_smac\n x, cost, smac = fmin_smac(func=test_func, x0=[-0], bounds=[(-5, 5)],\n maxfun=max_fun, rng=1234)\n runhistory = smac.get_... | [
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
urlpatterns = [path('', views.index, name='index'), path('about/', views.
about, name='about'), path('contact/', views.contact, name='contact'),
path('category/', views.category, name='category'), path(
'product/<str:i... | flexible | {
"blob_id": "0588aad1536a81d047a2a2b91f83fdde4d1be974",
"index": 3869,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nurlpatterns = [path('', views.index, name='index'), path('about/', views.\n about, name='about'), path('contact/', views.contact, name='contact'),\n path('category/', views.category... | [
0,
1,
2,
3
] |
#!/usr/bin/python
"""
Create a 1024-host network, and run the CLI on it.
If this fails because of kernel limits, you may have
to adjust them, e.g. by adding entries to /etc/sysctl.conf
and running sysctl -p. Check util/sysctl_addon.
This is a copy of tree1024.py that is using the Containernet
constructor. Containernet... | normal | {
"blob_id": "9c3ca2fa43c6a34d7fe06517812a6d0bf5d6dbe1",
"index": 4029,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n setLogLevel('info')\n network = TreeContainerNet(depth=2, fanout=100, switch=OVSSwitch)\n network.run(CLI, network)\n",
"step-3": "<mask token>\nfr... | [
0,
1,
2,
3
] |
from urllib.parse import urlencode
from urllib.request import urlopen, Request
from datetime import datetime
#пользовательские переменные
period=7 # задаём период. Выбор из: 'tick': 1, 'min': 2, '5min': 3, '10min': 4, '15min': 5, '30min': 6, 'hour': 7, 'daily': 8, 'week': 9, 'month': 10
start = "01.01.2021" #с какой д... | normal | {
"blob_id": "9d22a90835f5cf293808ab359244fe1bde81f3e1",
"index": 2171,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor ticker in tickers:\n params = urlencode([('market', market), ('em', tickers[ticker]), (\n 'code', ticker), ('apply', 0), ('df', start_date.day), ('mf', \n start_date.... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class PageInfoAjaxSpider(scrapy.Spider):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def start_requests(self):
url = (
'https://s.search.bilibili.com/cate/search?callback=jqueryCallback_bili_8995260575257822&m... | flexible | {
"blob_id": "cdcb2710291e9897b874f63840193470ed58be49",
"index": 825,
"step-1": "<mask token>\n\n\nclass PageInfoAjaxSpider(scrapy.Spider):\n <mask token>\n <mask token>\n <mask token>\n\n def start_requests(self):\n url = (\n 'https://s.search.bilibili.com/cate/search?callback=jque... | [
2,
3,
4,
5,
6
] |
from django.db import models
# Create your models here.
class Airlines(models.Model):
flight_number=models.CharField(max_length=8,unique=True)
airlines_id=models.CharField(max_length=10)
source=models.CharField(max_length=20)
destination=models.CharField(max_length=20)
departure=models.TimeField()
arrival=models... | normal | {
"blob_id": "e57b30a7a1cf987918abfb3cb7d612bdead2ddcd",
"index": 406,
"step-1": "<mask token>\n\n\nclass Bookings(models.Model):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Airlines(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask ... | [
1,
6,
7,
9,
10
] |
# Kipland Melton
import psutil
import math
def convert_size(size_bytes):
if size_bytes == 0:
return "0B"
size_name = ("%", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB")
i = int(math.floor(math.log(size_bytes, 1024)))
p = math.pow(1024, i)
s = round(size_bytes / p, 2)
return "%s %s" % (s, siz... | normal | {
"blob_id": "d960d3d1680f825f0f68fc6d66f491bbbba805ce",
"index": 5004,
"step-1": "<mask token>\n\n\ndef RetrieveMemory():\n ram_info = psutil.virtual_memory()\n typePresented = 'Total : ', 'Used : ', 'Free : ', 'Usage : '\n counter = 0\n print()\n for info in ram_info:\n try:\n ... | [
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class TestScope:
@pytest.mark.run(order=1)
def test_create_scope(self, host, port):
url = 'http://' + host + ':' + port + '/scope'
r = requests.post(url=url)
print(r.text)
assert r.status_code == 200
global SCOPE
SCOPE = r.json()['s... | flexible | {
"blob_id": "65a9f732fc8c7b9c63f6ef0d7b2172bb4138a895",
"index": 2761,
"step-1": "<mask token>\n\n\nclass TestScope:\n\n @pytest.mark.run(order=1)\n def test_create_scope(self, host, port):\n url = 'http://' + host + ':' + port + '/scope'\n r = requests.post(url=url)\n print(r.text)\n ... | [
10,
14,
17,
18,
20
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
club_info = {'club_url':
'https://www.futbin.com///18/leagues/Major%20League%20Soccer?page=1&club=101112'
, 'club_logo':
'https://cdn.futbin.com/content/fifa18/img/clubs/101112.png',
'club_name': 'Vancouver Whitecaps FC'}
players = {}
players[... | flexible | {
"blob_id": "35c4e26acbe99ca7f37b63b67f38d5c40fbf0ea4",
"index": 2503,
"step-1": "<mask token>\n",
"step-2": "club_info = {'club_url':\n 'https://www.futbin.com///18/leagues/Major%20League%20Soccer?page=1&club=101112'\n , 'club_logo':\n 'https://cdn.futbin.com/content/fifa18/img/clubs/101112.png',\n ... | [
0,
1
] |
import math
# 1
long_phrase = 'Насколько проще было бы писать программы, если бы не заказчики'
short_phrase = '640Кб должно хватить для любых задач. Билл Гейтс (по легенде)'
def compare (long, short):
print(len(long)>len(short))
compare(long_phrase, short_phrase)
# 2.1
text = 'Если программист в 9-00 утра на работе... | normal | {
"blob_id": "f29637cd670524baebac6549962a1c50fc1b91c6",
"index": 6835,
"step-1": "<mask token>\n\n\ndef compare(long, short):\n print(len(long) > len(short))\n\n\n<mask token>\n\n\ndef exchange(a, b):\n b = b - a\n a = a + b\n b = a - b\n print('a=', a, 'b=', b)\n\n\n<mask token>\n",
"step-2": "... | [
2,
3,
4,
5,
6
] |
from enum import Enum
class VariableType(Enum):
uint8 = "uint8",
int8 = "int8"
uint16 = "uint16"
int16 = "int16"
uint32 = "uint32"
int32 = "int32"
float = "float"
double = "double"
bool = "bool"
custom = "custom"
class Variable:
def __init__(self, type_str: str, name:... | normal | {
"blob_id": "434ec7791345ad869d8ce86aa1cdc08344203171",
"index": 2028,
"step-1": "<mask token>\n\n\nclass Variable:\n\n def __init__(self, type_str: str, name: str):\n self.original_type = type_str\n self.__map_variable_type(type_str)\n self.name = name\n\n def __str__(self):\n ... | [
4,
5,
6,
7,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
socket.bind('tcp://*:5555')
if not os.path.exists('db'):
print('db not found, creating')
ct = bcolz.ctable([np.empty(0, dtype='i8')], names=['data'], rootdir='db')
else:
print('db found, initializing')
ct = bcolz.o... | flexible | {
"blob_id": "71ac7240287b83be6ec1f2d98e3ee531a8a219e0",
"index": 9879,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsocket.bind('tcp://*:5555')\nif not os.path.exists('db'):\n print('db not found, creating')\n ct = bcolz.ctable([np.empty(0, dtype='i8')], names=['data'], rootdir='db')\nelse:\n ... | [
0,
1,
2,
3,
4
] |
"""Plot the output data.
"""
# Standard library
import os
import json
import math
import matplotlib as maplot
import matplotlib.pyplot as pyplot
from datetime import datetime
# User library
from sub.inputprocess import CONSTANTS as CONS
# **json.loads(json_data)
def get_data():
"""Read output file to get data."... | normal | {
"blob_id": "f4f08015b7638f4d6ea793350d5d19a3485978cd",
"index": 53,
"step-1": "<mask token>\n\n\ndef get_objectives(data):\n \"\"\"Get a list of all first chromosomes' objective values.\"\"\"\n objectives = [math.log(population[0]['objective']) for population in data]\n return objectives\n\n\ndef get_n... | [
2,
4,
5,
6,
7
] |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
#
from __future__ import absolute_import, division, print_function, unicode_literals
from collections import defaultdict
import os
import torch
import numpy as np
import pickle
from sklearn.linear_model import Ridge, Lasso
from biplnn.log import getLogger
from biplnn.utils... | normal | {
"blob_id": "9f86ff37d3a72364b5bd83e425d8151136c07dd3",
"index": 6294,
"step-1": "<mask token>\n\n\ndef fit_linear_model(x, y):\n logger.info('Using Lasso')\n lr = Lasso(alpha=0.01)\n lr.fit(x, y)\n return SharedScalerModel(lr)\n\n\nclass SharedScalerModel:\n\n def __init__(self, lm):\n sel... | [
7,
8,
10,
11,
12
] |
# Generated by Django 2.1.1 on 2019-11-20 12:34
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('sandbox_report', '0006_sandboxreportlink_sandboxreportval'),
]
operations = [
migrations.DeleteModel(
name='SandboxReportLink',
... | normal | {
"blob_id": "b92497396e711d705760db547b43cc65beba6cfd",
"index": 6172,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('sandbox_rep... | [
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [(... | flexible | {
"blob_id": "eb75f6e959e9153e6588a0322d1ebc75e21e73ef",
"index": 8153,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('candidate',... | [
0,
1,
2,
3,
4
] |
def watch():
print("시청하다")
watch()
print("tv.py의 module 이름은",__name__) #name은 __main__으로 나옴 | normal | {
"blob_id": "b9622bede471c76ae36d3f59130d2be113310d4c",
"index": 7045,
"step-1": "<mask token>\n",
"step-2": "def watch():\n print('시청하다')\n\n\n<mask token>\n",
"step-3": "def watch():\n print('시청하다')\n\n\nwatch()\nprint('tv.py의 module 이름은', __name__)\n",
"step-4": "def watch():\n print(\"시청하다\")\... | [
0,
1,
2,
3
] |
import unittest
from FileFeatureReader.featurereaders import RFEFeatureReader, DTFeatureReader
from FileFeatureReader.featurereader import FeatureReader
from unittest import mock
from unittest.mock import patch
import builtins
class TestFeatureReader(unittest.TestCase):
def setUp(self):
self.rfe_feat_reade... | normal | {
"blob_id": "5436e9270e61f5f9ab41fc1f35a80f4b8def65ee",
"index": 2048,
"step-1": "<mask token>\n\n\nclass TestFeatureReader(unittest.TestCase):\n <mask token>\n\n def testRFEFull(self):\n feat = ['column1', 'column2', 'column3']\n read_data = 'Header\\n---- column1\\n---- column2\\n---- colum... | [
14,
16,
17,
18,
19
] |
""" Generate test pads for padder. """
# usage: python gen.py > pads.txt
import random
pad = ""
count = 0
# The pad chars MUST match the character set used by padder.
# See the 'characters' variable in 'main.hpp' for more
# information.
chars = "abcdefghijklmnopqrstuvwxyz0123456789-"
print "#", "Pad"
while count... | normal | {
"blob_id": "2cdcd6976a1ec99b927adcedc48c36bbda1b4e18",
"index": 1005,
"step-1": "\"\"\" Generate test pads for padder. \"\"\"\n\n# usage: python gen.py > pads.txt\n\nimport random\n\npad = \"\"\ncount = 0\n\n# The pad chars MUST match the character set used by padder.\n# See the 'characters' variable in 'main... | [
0
] |
<|reserved_special_token_0|>
class DescribeDomainResponseBodyDomainCloudNativeInstancesProtocolPortConfigs(
TeaModel):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class DescribeDomainResponseBodyDomainCloudNativeInstances(Te... | flexible | {
"blob_id": "addf92a3d4060fa9464a802a4a4378cf9eeadde4",
"index": 2545,
"step-1": "<mask token>\n\n\nclass DescribeDomainResponseBodyDomainCloudNativeInstancesProtocolPortConfigs(\n TeaModel):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass DescribeDomainResponseBodyDomainClo... | [
426,
429,
443,
447,
577
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def search(nums, target):
left = 0
right = len(nums) - 1
while left <= right:
mid = int((left + right) / 2)
if target > nums[mid]:
left = mid + 1
elif target < nums[mid]:
... | flexible | {
"blob_id": "3eeed39bf775e2ac1900142b348f20d15907c6e6",
"index": 4972,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef search(nums, target):\n left = 0\n right = len(nums) - 1\n while left <= right:\n mid = int((left + right) / 2)\n if target > nums[mid]:\n left =... | [
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in range(20):
re = random.randint(1, 100)
if re >= 90:
dict1['A'].append(re)
elif re >= 80:
dict1['B'].append(re)
print(dict1)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
dict1 = ... | flexible | {
"blob_id": "4a223cdd3c957af2f54e33c910ce70d2b5e6c963",
"index": 7705,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(20):\n re = random.randint(1, 100)\n if re >= 90:\n dict1['A'].append(re)\n elif re >= 80:\n dict1['B'].append(re)\nprint(dict1)\n",
"step-3": "<ma... | [
0,
1,
2,
3,
4
] |
class Background(object):
def __init__(self, name):
self.name = name
self.description = ''
self.prTraits = []
self.ideals = []
self.bonds = []
self.flaws = []
def getBackName(self):
return self.name
def setBackDesc(self, desc):
self.descript... | flexible | {
"blob_id": "45449e728dadd241b00f5c4bfb3fd3950f04037c",
"index": 2627,
"step-1": "class Background(object):\n\n def __init__(self, name):\n self.name = name\n self.description = ''\n self.prTraits = []\n self.ideals = []\n self.bonds = []\n self.flaws = []\n\n def ... | [
11,
13,
14,
15,
16
] |
from flask import Flask, render_template
serious12 = Flask(__name__)
@serious12.route("/")
def home():
return "HOME"
@serious12.route("/user/<username>")
def user(username):
user = {
"trung": {
"name": "Trung",
"age": 19,
"birthplace": "Hanoi"
},
"n... | normal | {
"blob_id": "db1b6c545555116a334061440614e83e62994838",
"index": 4440,
"step-1": "<mask token>\n\n\n@serious12.route('/')\ndef home():\n return 'HOME'\n\n\n@serious12.route('/user/<username>')\ndef user(username):\n user = {'trung': {'name': 'Trung', 'age': 19, 'birthplace': 'Hanoi'},\n 'nguyenvana'... | [
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
def firmware_pack_create(handle, org_name, name, rack_bundle_version,
blade_bundle_version, descr='', mode='staged', org_parent='org-root'):
"""
This method creates Host Firmware pack.
Args:
handle (UcsHandle)
org_name (string): Name of the organization
... | flexible | {
"blob_id": "21cfe1ca606d18763fbfb8ff6862c382b3321adc",
"index": 8511,
"step-1": "<mask token>\n\n\ndef firmware_pack_create(handle, org_name, name, rack_bundle_version,\n blade_bundle_version, descr='', mode='staged', org_parent='org-root'):\n \"\"\"\n This method creates Host Firmware pack.\n\n Arg... | [
2,
3,
4,
5,
6
] |
""" Guess the number! """
import random, generic
def check_answer(player_guess, guess_value):
"""
Compares a player's guess and the number to guess
Returns True if the player guessed correctly
Returns False by default
"""
end_game = False
if player_guess > guess_value:
print('guess too high!')
elif playe... | normal | {
"blob_id": "a1e54a0f593149c1d97e64342c99f0ab8aa28fa9",
"index": 6215,
"step-1": "<mask token>\n\n\ndef check_answer(player_guess, guess_value):\n \"\"\"\n\tCompares a player's guess and the number to guess\n\tReturns True if the player guessed correctly\n\tReturns False by default\n\t\"\"\"\n end_game = F... | [
3,
5,
6,
7,
8
] |
# coding:utf-8
__author__ = 'yinzishao'
# dic ={}
class operation():
def GetResult(self):
pass
class operationAdd(operation):
def GetResult(self):
return self.numberA + self.numberB
class operationDev(operation):
def GetResult(self):
# if(self.numberB!=0):
# return sel... | normal | {
"blob_id": "7e33c6ada3d141ba8067dbf88c2e85a91802a067",
"index": 8446,
"step-1": "# coding:utf-8\n__author__ = 'yinzishao'\n# dic ={}\n\nclass operation():\n def GetResult(self):\n pass\n\nclass operationAdd(operation):\n def GetResult(self):\n return self.numberA + self.numberB\n\nclass oper... | [
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def binary_values_to_bit_duration(binary_values):
"""連続する0/1の長さを測る"""
previous_binary_value = SPACE
previous_time = 0
current_binary_value = SPACE
current_time = 0
for binary_value, time in binary_values:... | flexible | {
"blob_id": "ff67ef77958e78335dc1dc2c7e08bf42998387c6",
"index": 2374,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef binary_values_to_bit_duration(binary_values):\n \"\"\"連続する0/1の長さを測る\"\"\"\n previous_binary_value = SPACE\n previous_time = 0\n current_binary_value = SPACE\n curre... | [
0,
3,
4,
5,
7
] |
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